电能计分配车辆的调度优化,用于智能批量旋转
Zhaolei He1,2, Xinbo Zhou3, Cong Lin1,2
1Metering Center of Yunnan Power Grid Co., Ltd., Kunming, 650011, China.
Heliyon
|March 4, 2024
概括
这项研究优化了智能计量器分配和车辆调度,以加强电网管理. 一个新的灰狼优化算法 (OLC-GWO) 提高了效率,并降低了智能电表批次旋转的成本.
科学领域:
- 运营研究 运营研究
- 电气工程 电气工程
- 计算机科学 计算机科学
背景情况:
- 越来越多的工业技术推动了对电力的需求,需要改进的电网管理.
- 智能电表的批量旋转带来了独特的分配和调度挑战.
研究的目的:
- 在智能计量器批次旋转中开发一个优化的分销车辆调度模式.
- 为了提高智能电表的分销效率,并最大限度地降低整体分销成本.
主要方法:
- 构建智能电表分配的多级优化模型.
- 介绍了一种精细的灰狼优化算法 (OLC-GWO),结合了基于对立的学习,Levy飞行和Cauchy突变.
- 对OLC-GWO与其他智能优化算法 (PSO,HHO,HBA) 的比较分析.
主要成果:
- 与现有的算法相比,OLC-GWO在合速度和优化能力方面表现出卓越的性能.
- 模拟实验验证了OLC-GWO算法在实际分销操作中的效率.
- 拟议的模型有效地解决了智能电表批次旋转和调度方面的现实挑战.
结论:
- 开发的多级优化模型和OLC-GWO算法为智能电表分配提供了强大的解决方案.
- 这些发现对改善能源部门的物流和电网管理具有重大实际影响.
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